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AI with Papers - Artificial Intelligence & Deep Learning
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All the AI with papers. Every day fresh updates about #DeepLearning #MachineLearning #LLM & #ComputerVision Curated by Alessandro Ferrari | https://www.linkedin.com/in/visionarynet/ #AI #chatGPT
Ko'proq ko'rsatish📈 Telegram kanali AI with Papers - Artificial Intelligence & Deep Learning analitikasi
AI with Papers - Artificial Intelligence & Deep Learning (@ai_deeplearning) Ingliz til segmentidagi kanali faol ishtirokchi. Hozirda hamjamiyat 17 146 obunachidan iborat bo'lib, Texnologiyalar & Aralashmalar toifasida 7 718-o'rinni va Malayziya mintaqasida 2 244-o'rinni egallagan.
📊 Auditoriya ko‘rsatkichlari va dinamika
невідомо sanasidan buyon loyiha tez o‘sib, 17 146 obunachiga ega bo‘ldi.
22 Iyun, 2026 dagi oxirgi ma’lumotlarga ko‘ra kanal barqaror faollikka ega. Oxirgi 30 kunda obunachilar soni -178 ga, so‘nggi 24 soatda esa -15 ga o‘zgardi va umumiy qamrov yuqori darajada qolmoqda.
- Tasdiqlash holati: Tasdiqlanmagan
- Jalb etish (ER): Auditoriya o‘rtacha 24.30% darajada jalb etiladi. Nashrdan keyingi dastlabki 24 soatda kontent odatda umumiy obunachilar sonining 6.86% ini tashkil etuvchi reaksiyalarni to‘playdi.
- Post qamrovi: Har bir post o‘rtacha 4 167 marta ko‘riladi; birinchi sutkada odatda 1 177 ta ko‘rish yig‘iladi.
- Reaksiyalar va o‘zaro ta’sir: Auditoriya faol: har bir postga o‘rtacha 26 ta reaksiya keladi.
- Tematik yo‘nalishlar: Kontent framework, object, dataset, tba, depth kabi asosiy mavzularga jamlangan.
📝 Tavsif va kontent siyosati
Muallif resursni shaxsiy fikrni ifoda etish maydoni sifatida ta’riflaydi:
“All the AI with papers. Every day fresh updates about #DeepLearning #MachineLearning #LLM & #ComputerVision
Curated by Alessandro Ferrari | https://www.linkedin.com/in/visionarynet/
#AI #chatGPT”
Yuqori yangilanish chastotasi (oxirgi ma’lumot 23 Iyun, 2026 da olingan) sababli kanal doimo dolzarb va katta qamrovli bo‘lib qoladi. Analitika auditoriya kontent bilan faol hamkorlik qilishini, uni Texnologiyalar & Aralashmalar toifasidagi muhim ta’sir nuqtasiga aylantirishini ko‘rsatadi.
17 146
Obunachilar
-1524 soatlar
-437 kunlar
-17830 kunlar
Postlar arxiv
🪐 Spacecraft Pose Estimation 🪐
👉SnT (Luxembourg) unveils the most advanced event-based dataset for Spacecrafts: Unreal Engine + data from ICNS simulator + Real images + Real event data acquired in lab
😎Review https://t.ly/m8JPB
😎Paper https://lnkd.in/d_edvc3n
😎Project https://lnkd.in/dPp375aY
🫀 Neural Segmentation of Human 🫀
👉TotalSegmentator_v2: segmenting 104 anatomical structures (27 organs, 59 bones, 10 muscles, 8 vessels) in CT. Now suitable in 3D Slicer, open source platform for image visualization.
😎Review https://t.ly/yHMm1
😎Code https://lnkd.in/dvgrbsCE
😎Paper https://lnkd.in/dkwHuuzU
🔥 Hu.ma.ne #AI Pin is out! 🔥
👉Hu.ma.ne just launched #AI Pin: the new standalone AI-powered screenless device. Running on the GPT-4 LLMs, suitable for real-time translation. #AI-powered camera and laser projector
😎 More https://t.ly/CXz95
🐪 30x Faster Neural Large Scenes 🐪
👉 NeuRas: realistic real-time novel-view synthesis of VERY large scenes (>10000 m2 ). 30× faster rendering than previous SOTA w/ comparable or better realism
😎Review https://t.ly/ELJSE
😎Paper https://arxiv.org/pdf/2311.05607.pdf
😎Project https://waabi.ai/NeuRas/
🛋️ 3DiffTection: new SOTA 3D detection 🛋️
👉#Nvidia unveils 3DiffTection, the new SOTA for 3D object detection from single images. A powerful 3D detector powered by diffusion model
😎Review https://t.ly/PciXY
😎Project research.nvidia.com/labs/toronto-ai/3difftection
😎Paper https://arxiv.org/pdf/2311.04391.pdf
😎Code https://github.com/nv-tlabs/3DiffTection
🥻Sewformer: Towards Virtual Cloth🥻
👉SEA AI Lab unveils a novel #AI to recovery the garment sewing patterns from daily photos for #AR / #VR worlds
😎Review https://t.ly/MwpAV
😎Project https://sewformer.github.io/
😎Paper https://arxiv.org/pdf/2311.04218.pdf
😎Code https://github.com/sail-sg/sewformer
🔥 Does GPT-4 Pass the Turing Test? 🔥
👉No. I mean...not yet. Read this Paper from UC San Diego👇
😎Review https://t.ly/o8HgM
😎 Paper https://arxiv.org/pdf/2310.20216.pdf
🚛 OYSTER: unsupervised detection w/ LIDAR 🚛
👉Waabi unveils OYSTER: a novel unsupervised object detection from LiDAR point clouds.
😎Review https://t.ly/EMi58
😎Project https://waabi.ai/oyster/
😎Paper arxiv.org/pdf/2311.02007.pdf
👣 Foot via Synthetic Data 👣
👉 50,000 synthetic/photorealistic foot images + a novel SOTA library for foot
😎Review https://t.ly/TVanP
😎Paper https://arxiv.org/pdf/2310.18279.pdf
😎Project https://ollieboyne.github.io/FOUND
😎Code https://github.com/OllieBoyne/FOUND
🍄 Video Understanding with GPT-4V(ision) 🍄
👉 #Microsoft unveils MM-Vid, the most advanced video understanding framework (w/ #chatgpt4). Impressive results on long-form videos and intricate tasks such as audio description & multimodal high-level comprehension
😎Review https://t.ly/RISMm
😎Paper arxiv.org/pdf/2310.19773.pdf
😎Project https://multimodal-vid.github.io
✌️ Relighted 3D Interacting Hands 🤞
👉#META unveils Re:InterHand: a large dataset of relighted 3D interacting hands
😎Review https://t.ly/I1dQk
😎Paper arxiv.org/pdf/2310.17768.pdf
😎Project mks0601.github.io/ReInterHand
😎Data github.com/mks0601/ReInterHand
🧂 SOTA RGB-D Video Salient Object 🧂
👉 DCTNet+ (model) and RDVS(dataset) for a new SOTA in Video Saliency Object Detection
😎Review https://t.ly/DapLV
😎Code github.com/kerenfu/RDVS
😎Paper arxiv.org/pdf/2310.15482.pdf
🥤NanoSAM: SAM on low-cost boards🥤
👉NanoSAM is a Segment Anything variant capable of running in real-time on #NVIDIA Jetson Orin with TensorRT
😎Review https://t.ly/UErq_
😎Tutorial https://github.com/NVIDIA-AI-IOT/nanosam
🪛 PACE: in-the-wild SOTA Motion 🪛
👉#Nvidia unveils the novel SOTA to estimate the human motion in a global scene from moving cams. Stunning results.
😎Review https://t.ly/20you
😎Project https://nvlabs.github.io/PACE
😎Paper https://arxiv.org/pdf/2310.13768.pdf
🧡 Rotoscoping Prince Of Persia (1985) 🧡
👉 A rare footage for the animation of Prince of Persia (1989). Damn Romantic.
😎 More https://t.ly/xJife
🍈 Cutie: VOS with heavy occlusions🍈
👉Cutie: novel VOS for challenging scenarios with heavy occlusions & distractors
😎Review https://t.ly/W3FR-
😎Paper arxiv.org/pdf/2310.12982.pdf
😎Project https://hkchengrex.com/Cutie
😎Code https://github.com/hkchengrex/Cutie
🛣️ Holistic Parking Detection (YOLO) 🛣️
👉 One-step Holistic Parking Slot Network: a tailor-made adaptation of YOLOv4 algorithm for all-shaped parking slot detection
😎Review https://t.ly/2l4ZG
😎Paper arxiv.org/pdf/2310.11629.pdf
🍡4K4D: Real-Time 4D View at 4K🍡
👉THE new SOTA in view synthesis of dynamic 3D scenes at 4K resolution is out. 30x faster, up to 400 FPS. Nuts!
😎Review https://t.ly/6ddQh
😎Paper arxiv.org/pdf/2310.11448.pdf
😎Project zju3dv.github.io/4k4d/
😎Code github.com/zju3dv/4K4D
😻 CatFLW: Cat Neural Landmarks 😻
👉Landmark convolution neural network-based model for cat faces
😎Review https://t.ly/Y3mQ8
😎Paper arxiv.org/pdf/2305.04232.pdf
😎Dataset www.tech4animals.org/catflw
🌱 Pose-Format: All-in-One Pose 🌱
👉 Pose-format: a comprehensive toolkit designed for human pose: unified, flexible, and easy-to-use
😎Review https://t.ly/rFrhq
😎Paper arxiv.org/pdf/2310.09066.pdf
😎Code github.com/sign-language-processing/pose
